Health management system based on pituitary hormone level monitoring

Through a health management system based on pituitary hormone level monitoring, the problem of insufficient pituitary hormone monitoring in the existing technology is solved, and accurate assessment of user endocrine status and personalized health management are achieved, which improves the accuracy and effectiveness of health management.

CN120452786AInactive Publication Date: 2025-08-08CENT HOSPITAL XUHUI DISTRICT SHANGHAI CITY
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Patent Information

Application Number
CN202510538912.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-27
Publication Date
2025-08-08
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing health management system lacks effective monitoring of pituitary hormone levels, resulting in a single data collection and analysis process and a decrease in the accuracy of health management.

Method used

A health management system based on pituitary hormone level monitoring is adopted, including a multi-source data collection terminal, a hormone analysis terminal, an intelligent decision-making center terminal and a visual interaction terminal. By regularly collecting blood samples and work and rest rules information, hormone concentration is measured, hormone time series information is generated, and comprehensive health assessment and strategy recommendations are carried out.

Benefits of technology

It realizes accurate assessment of the user's endocrine status, timely discovers potential health problems, formulates personalized health management strategies, and improves the accuracy and effectiveness of health management.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of health management systems, and provides a pituitary hormone level monitoring-based health management system, which comprises a multi-source data acquisition terminal, a hormone analysis terminal, an intelligent decision center terminal and a visual interaction terminal, the multi-source data acquisition terminal is used for regularly acquiring a blood sample and work and rest rule information of a user; the hormone analysis terminal is used for measuring the hormone concentration of a specified hormone type in the blood sample and generating hormone time sequence information; the specified hormone type is preset by an administrator or is set according to health management requirements; the intelligent decision center terminal is used for performing individual health state assessment of the user according to the hormone time sequence information and the work and rest rule information, and generating health state assessment information and health strategy suggestions; and the visual interaction terminal is used for displaying the health state evaluation information and the health strategy suggestions. The method has the effect of improving the accuracy of health management.
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Description

Technical Field

[0001] The present invention relates to the technical field of health management systems, and in particular to a health management system based on pituitary hormone level monitoring. Background Art

[0002] The pituitary gland is the central organ of the human endocrine system, regulating the secretion of multiple hormones, such as thyroid-stimulating hormone (TSH), adrenocorticotropic hormone (ACTH), growth hormone (GH), and gonadotropins (LH and FSH). Its functional state directly affects multiple physiological processes, including those of the thyroid gland, adrenal glands, and reproductive system. However, current mainstream health monitoring devices mostly focus on physiological parameters such as heart rate, blood oxygen, and body temperature, and lack effective solutions for monitoring pituitary hormone levels. Due to the strong temporal nature and multi-dimensional impact of pituitary hormones, it is difficult to reflect their inherent laws through single-parameter monitoring. There is an urgent need to develop a new health management system that integrates multi-parameter analysis and dynamic judgment.

[0003] Many health management systems have been developed. After extensive searching and reference, we found that existing health management systems include those disclosed in publication numbers CN113900911A, CN115083552A, CN116940990A, EP1444947A4, and US20220130556A1. These health management systems generally include: an individual body data collection terminal, a data analysis and evaluation terminal, and a health advice terminal; the individual body data collection terminal is used to collect the user's individual body data; the data analysis and evaluation terminal is used to perform data analysis and evaluation based on the individual body data; and the health advice terminal is used to output health advice based on the evaluation results. Because the data collection and analysis processes of the above-mentioned health management systems are relatively simple, lacking multi-source data collection and analysis processes, and the data processing and analysis and calculation processes are also relatively simple, the accuracy of health management is reduced. Summary of the Invention

[0004] The purpose of the present invention is to address the shortcomings of the above health management system and propose a health management system based on pituitary hormone level monitoring.

[0005] The present invention adopts the following technical solutions:

[0006] A health management system based on pituitary hormone level monitoring includes a multi-source data acquisition terminal, a hormone analysis terminal, an intelligent decision-making center terminal, and a visual interaction terminal; the multi-source data acquisition terminal is used to regularly collect users' blood samples and work and rest pattern information; the hormone analysis terminal is used to measure the hormone concentration of specified hormone types in blood samples and generate hormone time series information; the specified hormone types are preset by the administrator or set according to health management requirements; the intelligent decision-making center terminal is used to evaluate the user's individual health status based on the hormone time series information and work and rest pattern information, and generate health status evaluation information and health strategy recommendations; the visual interaction terminal is used to display the health status evaluation information and health strategy recommendations;

[0007] The multi-source data acquisition terminal includes a blood sample collection module and a work and rest pattern monitoring module; the blood sample collection module is used to regularly collect blood samples from users; the work and rest pattern monitoring module is used to collect the user's sleep time, wake-up time, exercise and rest schedule data, and integrate them into work and rest pattern information.

[0008] Optionally, the hormone analysis terminal includes a blood sample hormone detection module and a hormone data processing module; the blood sample hormone detection module is used to measure the concentration of hormones of specified hormone types in the blood sample; the hormone data processing module is used to process the collected hormone concentration data to generate hormone time series information.

[0009] Optionally, the intelligent decision-making central terminal includes a data fusion module, a health status assessment module and a health strategy generation module; the data fusion module is used to read and fuse hormone time series information and work and rest pattern information to form comprehensive health assessment data; the health status assessment module is used to assess the user's health status based on the comprehensive health assessment data and generate health status assessment information; the health strategy generation module is used to formulate health strategy recommendations for the user based on the health status assessment information.

[0010] Optionally, the visual interactive terminal includes a health status display module, a health strategy display module and a user feedback module; the health status display module is used to present the user's health status assessment information in a visual manner; the health strategy display module is used to display health strategy recommendations; and the user feedback module is used to collect health feedback information from the user after executing the health strategy recommendations.

[0011] Optionally, the health status assessment module includes an endocrine synergistic deviation assessment submodule and a health status assessment information generation submodule; the endocrine synergistic deviation assessment submodule is used to perform endocrine synergistic deviation assessment on the user based on the comprehensive health assessment data and generate endocrine synergistic deviation assessment information; the health status assessment information is used to generate health status assessment information based on the endocrine synergistic deviation assessment information.

[0012] Optionally, the endocrine synergy deviation assessment submodule includes an endocrine synergy deviation index calculation unit and an endocrine synergy deviation assessment information generation unit; the endocrine synergy deviation index calculation unit is used to calculate the user's endocrine synergy deviation index based on the hormone concentration data, hormone concentration change rate data and hormone metabolism cycle data in the comprehensive health assessment data; the endocrine synergy deviation assessment information generation unit is used to make a judgment based on the endocrine synergy deviation index and generate endocrine synergy deviation assessment information;

[0013] When the endocrine synergy deviation index calculation unit calculates, the following formula is satisfied:

[0014]

[0015] Among them, ESD represents the user's endocrine synergy deviation index, which is dimensionless and belongs to the scoring type result. It is not an accurate reflection of the physical meaning, but a visual value of the degree of deviation that is convenient for subsequent judgment after data processing based on the formula rules between related factors; C i represents the hormone concentration of the i-th hormone in the specified hormone category during the most recent blood sampling and hormone testing of the user at the current calculation moment; C represents the average concentration of all hormones in the specified hormone category; n represents the total number of specified hormone categories; t i represents the sampling time of the i-th hormone, that is, the time interval between the current calculation moment and the moment when the user's blood was most recently sampled; ∈ represents a small constant, generally 0.0001, used to prevent the numerator from dividing by zero; represents the rate of change of hormone concentration of the i-th hormone; ΔC i represents the change in the hormone concentration of the i-th hormone, that is, the change in the hormone concentration of the i-th hormone in the most recent sampling test at the current calculation moment and the hormone concentration of the i-th hormone in the initial sampling test; it should be noted that in order to ensure the normal calculation of the formula, the endocrine synergy deviation index calculation unit starts working after at least two sampling tests; Δt represents the change in the hormone concentration of the i-th hormone ΔC i The time corresponding to the time spent; τ irepresents the hormone metabolism cycle of the i-th hormone; ζ represents the environmental emergency factor proportional coefficient, which is used to adjust the impact ratio of the environmental emergency factor item on the ESD calculation. The specific value is set by the administrator based on experience; ΔE k represents the change in the environmental emergency factor corresponding to the kth sampling before the current calculation time; m represents the total number of samplings before the current calculation time; S k represents the environmental stress score corresponding to the kth sampling time before the current calculation time; t now Indicates the time interval between the kth sampling and the first sampling before the current calculation moment; it should be noted that k≠1, and the value of k is 2 to m; E temp represents the temperature detection value in the user's space at the kth sampling time before the current calculation time; E noise Indicates the noise detection value in the user's space at the kth sampling time before the current calculation time. ref , the endocrine synergy deviation evaluation information generating unit generates endocrine synergy deviation evaluation information indicating that the user's endocrine synergy deviation exceeds the standard.

[0016] The health management method based on pituitary hormone level monitoring is applied to the health management system based on pituitary hormone level monitoring as described above. The health management method based on pituitary hormone level monitoring includes:

[0017] S1, regularly collects users’ blood samples and daily routine information;

[0018] S2, measuring the hormone concentration of a specified hormone type in a blood sample and generating hormone time series information;

[0019] S3, assesses the user's individual health status based on hormone time series information and work and rest pattern information, and generates health status assessment information and health strategy recommendations;

[0020] S4, displays health status assessment information and health strategy recommendations.

[0021] The beneficial effects achieved by the present invention are:

[0022] 1. Through the configuration of a multi-source data collection terminal, including a blood sample collection module and a work and rest pattern monitoring module, the user's blood samples and work and rest pattern information can be regularly collected. This facilitates comprehensive acquisition of the user's health data, providing sufficient information support for the intelligent decision-making center terminal, thereby facilitating more accurate individual health assessments and the formulation of targeted health management strategies.

[0023] 2. The hormone analysis terminal, including a blood sample hormone detection module and a hormone data processing module, can measure the concentration of specified hormone types in blood samples in real time, process the data, and generate hormone time series information. This setup facilitates the accurate acquisition and processing of a user's hormone level data, thereby supporting the intelligent decision-making center terminal's analysis of hormone fluctuations, thereby helping to better understand the user's endocrine status and promptly identify potential health issues.

[0024] 3. Through the configuration of the intelligent decision-making center terminal, including the data fusion module, health status assessment module, and health strategy generation module, hormone time series information and work and rest pattern information can be effectively integrated to generate comprehensive health assessment data. This configuration facilitates the system to achieve multi-dimensional data integration, thereby improving the accuracy of health status assessment, thereby facilitating the development of personalized and precise health management strategies and optimizing the user's health status.

[0025] 4. Through the setting of the visual interactive terminal, including the health status display module, health strategy display module and user feedback module, it is possible to visually display the user's health status assessment information and health strategy recommendations, and collect user feedback. This setting helps to improve the user's understanding and acceptance of health assessment information and strategy recommendations, thereby enhancing user participation and compliance, and thus helping to improve the implementation effect of health management plans.

[0026] 5. Through the setting of the health status assessment module, including the endocrine synergy deviation assessment submodule and the health status assessment information generation submodule, the endocrine synergy deviation assessment of the user can be performed, endocrine synergy deviation assessment information can be generated, and health status assessment information can be further generated. This setting is conducive to in-depth analysis of the user's endocrine status, and then the potential endocrine disorders can be identified in a timely manner, which is conducive to the formulation of a more accurate health management plan to ensure the maintenance of individual endocrine health.

[0027] 6. Through the setting of the ESD calculation algorithm, it is possible to evaluate the health status of an individual based on multiple data sources (such as hormone time series information and work and rest information), and then provide accurate health assessment results for the intelligent decision-making central terminal. The algorithm can quantify the endocrine synergistic deviation (ESD) of the user based on the endocrine level, life pattern and the influence of the external environment, and effectively identify potential endocrine disorders or health problems, thereby providing a scientific basis for subsequent health management strategies and intervention plans. Furthermore, personalized health strategies can be formulated according to the actual situation of each user, which is conducive to improving the accuracy and effectiveness of overall health management.

[0028] 7. By setting up the ζ calculation formula, we can quantitatively analyze the impact of physiological characteristics and environmental stressors on the endocrine system, thereby generating a dynamic adjustment coefficient ζ, which is used to accurately assess the impact of environmental factors on hormone fluctuations. This formula uses the Sigmoid function to compress complex environmental factors and individual physiological characteristics into a reasonable range of 0.1 to 1, ensuring that the value of ζ remains within a controllable range and avoiding the influence of extreme values. This calculation formula can accurately capture an individual's sensitivity to environmental changes, thereby facilitating the development of personalized health management strategies and effectively optimizing the effectiveness of endocrine health management.

[0029] To further understand the features and technical contents of the present invention, please refer to the following detailed description and drawings of the present invention. However, the drawings provided are only for reference and illustration and are not intended to limit the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0031] Figure 2 This is a schematic diagram of the structure of the health status assessment module in the present invention;

[0032] Figure 3 Schematic diagram showing the comparison of ESD values and ζ values for different users in the present invention;

[0033] Figure 4 This is a schematic diagram of the process flow of the health management method based on pituitary hormone level monitoring in the present invention;

[0034] Figure 5 Schematic diagram of the structure of the endocrine collaborative deviation assessment submodule in another embodiment of the present invention. DETAILED DESCRIPTION

[0035] The following is an explanation of the embodiments of the present invention through specific embodiments. Those skilled in the art can understand the advantages and effects of the present invention from the contents disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and the details in this specification can also be modified and changed based on different viewpoints and applications without departing from the spirit of the present invention. In addition, the drawings of the present invention are only simple schematic illustrations and are not depicted according to actual dimensions. It is stated in advance. The following embodiments will further explain the relevant technical contents of the present invention in detail, but the disclosed contents are not intended to limit the scope of protection of the present invention.

[0036] Example 1: This example provides a health management system based on pituitary hormone level monitoring. Figure 1As shown, a health management system based on pituitary hormone level monitoring includes a multi-source data acquisition terminal, a hormone analysis terminal, an intelligent decision-making center terminal and a visual interaction terminal; the multi-source data acquisition terminal is used to regularly collect users' blood samples and work and rest information; the hormone analysis terminal is used to measure the hormone concentration of specified hormone types in blood samples and generate hormone time series information; the specified hormone types are preset by the administrator or set according to health management requirements; the specified hormone types can be but are not limited to: thyroid hormone, cortisol, insulin, estrogen, testosterone, growth hormone, progesterone, prolactin, follicle-stimulating hormone, luteinizing hormone, etc.; the intelligent decision-making center terminal is used to evaluate the user's individual health status based on the hormone time series information and work and rest information, and generate health status evaluation information and health strategy recommendations; the visual interaction terminal is used to display health status evaluation information and health strategy recommendations;

[0037] The multi-source data acquisition terminal includes a blood sample collection module and a work and rest pattern monitoring module; the blood sample collection module is used to regularly collect blood samples from users; the work and rest pattern monitoring module is used to collect the user's sleep time, wake-up time, exercise and rest schedule data, and integrate them into work and rest pattern information.

[0038] Optionally, the hormone analysis terminal includes a blood sample hormone detection module and a hormone data processing module; the blood sample hormone detection module is used to measure the concentration of hormones of specified hormone types in the blood sample; the hormone data processing module is used to process the collected hormone concentration data to generate hormone time series information.

[0039] Optionally, the intelligent decision-making central terminal includes a data fusion module, a health status assessment module and a health strategy generation module; the data fusion module is used to read and fuse hormone time series information and work and rest pattern information to form comprehensive health assessment data; the health status assessment module is used to assess the user's health status based on the comprehensive health assessment data and generate health status assessment information; the health strategy generation module is used to formulate health strategy recommendations for the user based on the health status assessment information.

[0040] Optionally, the visual interactive terminal includes a health status display module, a health strategy display module and a user feedback module; the health status display module is used to present the user's health status assessment information in a visual manner; the health strategy display module is used to display health strategy recommendations; and the user feedback module is used to collect health feedback information from the user after executing the health strategy recommendations.

[0041] Optional, combined Figure 2As shown, the health status assessment module includes an endocrine synergistic deviation assessment submodule and a health status assessment information generation submodule; the endocrine synergistic deviation assessment submodule is used to perform endocrine synergistic deviation assessment on the user based on the comprehensive health assessment data and generate endocrine synergistic deviation assessment information; the health status assessment information is used to generate health status assessment information based on the endocrine synergistic deviation assessment information.

[0042] Optionally, the endocrine synergy deviation assessment submodule includes an endocrine synergy deviation index calculation unit and an endocrine synergy deviation assessment information generation unit; the endocrine synergy deviation index calculation unit is used to calculate the user's endocrine synergy deviation index based on the hormone concentration data, hormone concentration change rate data and hormone metabolism cycle data in the comprehensive health assessment data; the endocrine synergy deviation assessment information generation unit is used to make a judgment based on the endocrine synergy deviation index and generate endocrine synergy deviation assessment information;

[0043] When the endocrine synergy deviation index calculation unit calculates, the following formula is satisfied:

[0044]

[0045] Among them, ESD represents the user's endocrine synergy deviation index, which is dimensionless and belongs to the scoring type result. It is not an accurate reflection of the physical meaning, but a visual value of the degree of deviation that is convenient for subsequent judgment after data processing based on the formula rules between related factors; C i represents the hormone concentration of the i-th hormone in the specified hormone category during the most recent blood sampling and hormone testing of the user at the current calculation moment; C represents the average concentration of all hormones in the specified hormone category; n represents the total number of specified hormone categories; t i represents the sampling time of the i-th hormone, that is, the time interval between the current calculation moment and the moment when the user's blood was most recently sampled; ∈ represents a small constant, generally 0.0001, used to prevent the numerator from dividing by zero; represents the rate of change of hormone concentration of the i-th hormone; ΔC i represents the change in the hormone concentration of the i-th hormone, that is, the change in the hormone concentration of the i-th hormone in the most recent sampling test at the current calculation moment and the hormone concentration of the i-th hormone in the initial sampling test; it should be noted that in order to ensure the normal calculation of the formula, the endocrine synergy deviation index calculation unit starts working after at least two sampling tests; Δt represents the change in the hormone concentration of the i-th hormone ΔC i The time corresponding to the time spent; τ iRepresents the hormone metabolism cycle of the i-th hormone; ζ represents the environmental emergency factor proportional coefficient, which is used to adjust the influence ratio of the environmental emergency factor item on the ESD calculation. The higher the degree to which ESD is affected by the environmental emergency factor, the greater the value. The specific value is set by the administrator based on experience, and the default value is 0.2; ΔE k represents the change in the environmental emergency factor corresponding to the kth sampling before the current calculation time; m represents the total number of samplings before the current calculation time; S k represents the environmental stress score corresponding to the kth sampling time before the current calculation time; t now Indicates the time interval between the kth sampling and the first sampling before the current calculation moment; it should be noted that k≠1, and the value of k is 2 to m; E temp represents the temperature detection value in the user's space at the kth sampling time before the current calculation time; E noise Indicates the noise detection value in the user's space at the kth sampling time before the current calculation time.

[0046] Environmental factors are introduced to account for the disruptive effects of external environmental changes on the endocrine system. Temperature and noise can reflect the environmental impact on the endocrine system's physiological rhythms (temperature) and psychological stress responses (noise). Both occur frequently in real life, have significant impacts, and are easy to collect and model. This makes the ESD assessment formula not only consistent with physiological mechanisms but also practical and feasible for engineering implementation.

[0047] If ESD>E ref , the endocrine synergy deviation assessment information generation unit generates endocrine synergy deviation assessment information indicating that the user's endocrine synergy deviation exceeds the standard, and the endocrine synergy deviation assessment information includes the following health intervention suggestions:

[0048] 1. Endocrine examination: Due to the high ESD value, it is recommended that users undergo detailed hormone level testing, focusing on monitoring important hormones such as thyroid hormones and cortisol;

[0049] 2. Environmental Factor Management: Prompt users to reduce environmental stressors, such as lowering noise and adjusting temperature, to mitigate the negative impact of the external environment on the endocrine system;

[0050] 3. Adjust your work and rest schedule and exercise: It is recommended to adjust your work and rest schedule, avoid staying up late, and increase moderate aerobic exercise to help regulate the endocrine system.

[0051] This section calculates the degree of deviation between the hormone concentration and its average concentration, taking into account the time factor. A larger deviation will increase the ESD value, indicating a larger imbalance in hormone concentration. iThe time factor is used to adjust the deviation, indicating that longer-term hormonal changes have a greater impact on endocrine imbalance.

[0052] Here, a logarithmic function is used to adjust the effect of the rate of change of hormone concentration on ESD. Since the change of hormone concentration is nonlinear, the logarithmic function can slow down the impact of sharp changes on the results, making the system more sensitive to smaller changes in hormone levels. This section considers the impact of changes in environmental factors on the endocrine system. The rate of change of each environmental factor is calculated using Δt, and the effect of the change on ESD is amplified by the square term.

[0053] To standardize and streamline formula usage, the following calculation examples illustrate the units of the known conditions in these examples, corresponding to the values you should enter when entering parameters in the formulas. Entering the corresponding values for the parameters improves formula accuracy.

[0054] Calculation example:

[0055] The known conditions are: there are 3 hormones, the hormone concentrations are C1 = 2.5μIU / mL, C2 = 3.0μIU / mL, C3 = 1.8μIU / mL, and the average hormone concentration is Assume that the sampling time of each hormone is t1 = 12 hours, t2 = 8 hours, t3 = 24 hours, and the metabolic cycle is τ1 = 24 hours, τ2 = 12 hours, τ3 = 16 hours.

[0056] hours. The changes in hormone concentration are ΔC1 = 0.1 μIU / mL, ΔC2 = 0.2 μIU / mL, and ΔC3 = -0.05 μIU / mL. The time it takes for the hormone concentration change ΔCi to occur is Δt = 1 hour. Environmental stress factor: Assume ΔE1 = 1.5 and ΔE2 = 2.0. Coefficient: ζ = 0.2, small constant ∈ = 0.0001. E ref =2,E ref Indicates the deviation judgment threshold, which is set by the administrator based on experience. Substitute into the formula for calculation:

[0057] The first hormone:

[0058] Second hormone:

[0059] The third hormone:

[0060] sum:

[0061]

[0062] Total: 0.00417 + 0.0165 + 0.00312 = 0.0238;

[0063]

[0064] ESD=(0.147) 2 +2.45=0.0216+2.45=2.4716;

[0065] Since ESD=2.4716>2, the endocrine synergy deviation evaluation information generation unit generates endocrine synergy deviation evaluation information indicating that the endocrine synergy deviation of the user exceeds the standard.

[0066] The following is the program code for the above calculation example:

[0067]

[0068]

[0069]

[0070] Combine Figure 3 As shown, Figure 3 The comparison of ESD values and ζ values for different users is shown.

[0071] In summary, the multi-source data collection terminal, including a blood sample collection module and a work and rest pattern monitoring module, can regularly collect blood samples and work and rest pattern information from users. This facilitates comprehensive acquisition of user health data, providing sufficient information support for the intelligent decision-making hub terminal. The hormone analysis terminal, including a blood sample hormone detection module and a hormone data processing module, can measure the concentration of specific hormone types in blood samples in real time and process the data to generate hormone time series information. This setup facilitates the accurate acquisition and processing of user hormone level data, supporting the intelligent decision-making hub terminal's analysis of hormone fluctuations. The intelligent decision-making hub terminal, including a data fusion module, a health status assessment module, and a health strategy generation module, can effectively integrate hormone time series information with work and rest pattern information to generate comprehensive health assessment data. This setup facilitates the system's multi-dimensional data integration, thereby improving the accuracy of health status assessments. The visual interaction terminal, including a health status display module, a health strategy display module, and a user feedback module, can visually display user health status assessment information, present health strategy recommendations, and collect user feedback. This setting is conducive to improving users' understanding and acceptance of health assessment information and strategic recommendations, thereby enhancing users' sense of participation and compliance; through the setting of the health status assessment module, including the endocrine synergy deviation assessment submodule and the health status assessment information generation submodule, the user's endocrine synergy deviation can be assessed, endocrine synergy deviation assessment information can be generated, and health status assessment information can be further generated. This setting is conducive to in-depth analysis of the user's endocrine status, thereby enabling timely identification of potential endocrine disorders; through the setting of the ESD calculation algorithm, individual health status assessments can be conducted based on multiple data sources (such as hormone time series information, work and rest information), thereby providing accurate health assessment results for the intelligent decision-making central terminal. The algorithm can quantify the user's endocrine synergy deviation (ESD) based on the user's endocrine level, life pattern and the influence of the external environment, effectively identify potential endocrine disorders or health problems, and thus provide a scientific basis for subsequent health management strategies and intervention plans.

[0072] The health management method based on pituitary hormone level monitoring is applied to the health management system based on pituitary hormone level monitoring as described above, combined with Figure 4 As shown, the health management method based on pituitary hormone level monitoring includes:

[0073] S1, regularly collects users’ blood samples and daily routine information;

[0074] S2, measuring the hormone concentration of a specified hormone type in a blood sample and generating hormone time series information;

[0075] S3, assesses the user's individual health status based on hormone time series information and work and rest pattern information, and generates health status assessment information and health strategy recommendations;

[0076] S4, displays health status assessment information and health strategy recommendations.

[0077] Example 2: This example includes all the contents of Example 1, and provides a health management system based on pituitary hormone level monitoring. In conjunction with the figure, the endocrine synergistic deviation evaluation submodule includes an endocrine synergistic deviation index calculation unit and an endocrine synergistic deviation evaluation information generation unit; the endocrine synergistic deviation index calculation unit is used to calculate the user's endocrine synergistic deviation index based on the hormone concentration data, hormone concentration change rate data and hormone metabolism cycle data in the comprehensive health assessment data; the endocrine synergistic deviation evaluation information generation unit is used to make judgments based on the endocrine synergistic deviation index and generate endocrine synergistic deviation evaluation information. In conjunction with Figure 5 As shown, the endocrine collaborative deviation assessment submodule also includes an environmental emergency factor proportional coefficient calculation unit; the environmental emergency factor proportional coefficient calculation unit is used to calculate the environmental emergency factor proportional coefficient corresponding to the user before the ESD value is calculated, so as to improve the accuracy of the ESD value by improving the accuracy of the environmental emergency factor proportional coefficient.

[0078] When the environmental emergency factor proportional coefficient calculation unit calculates, the following formula is satisfied:

[0079]

[0080] Among them, Sigmoid() is used to compress the result between 0.1 and 1; ζ0 represents the default basic value of the environmental emergency factor adjustment coefficient. The higher the user's sensitivity to the environmental emergency factor or the doctor believes that the user is more affected by the environmental emergency factor through experience, the larger the value. In this embodiment, ζ0 = 0.2 is preferred; J represents the total number of environmental factors; γ represents the weighted coefficient of environmental factors. If the total number of environmental factors is greater than 2, γ = 1.2; if the total number of environmental factors is less than or equal to 2, γ = 1.5; E j represents the change in the jth environmental factor during the test period; the test period is the period starting from the last ESD value calculation and before the current ESD value calculation. If it is before the first ESD value calculation, the default value is 10 minutes. α represents the physiological characteristic weighting coefficient, ranging from 0.1 to 0.5. The higher the physiological characteristic's influence on the ζ result, the greater the value. In this embodiment, it is set to 0.1. bio P represents the weighted index of physiological characteristics, which is related to the user's age and body mass index (BMI). The older the age and the greater the BMI, the higher the P bio The larger the Pbio The specific value confirmation formula is: P bio =0.05·Age+0.02·BMI, where 0.05 and 0.02 are the normalized weight coefficients of age and BMI, respectively.

[0081] ζ0 is the default base value of ζ, which is used to represent the initial impact of environmental stress factors on hormone levels. In the absence of significant environmental changes and interference from individual characteristics, ζ0 provides a stable starting point. Based on this default value, ζ is further calculated by adjusting environmental factors and individual characteristics. Through the Sigmoid function, even if environmental factors or physiological characteristics change extremely, ζ will stabilize between 0 and 1, avoiding unreasonable fluctuations in the calculation results. The Sigmoid function provides ζ with adaptive capabilities, enabling it to automatically adjust to an appropriate range according to the individual's environmental and physiological characteristics. Through P bio , the model automatically adjusts ζ based on individual differences, ensuring that each individual's response to changes in environmental factors is personalized. 0.1 + (1 - 0.1) · Sigmoid() Through this structure, the output of the Sigmoid function is smoothly adjusted to the range of 0 to 1, ensuring that the final ζ result does not exceed the predetermined upper and lower limits. Using 0.1 and (1 - 0.1) keeps the final result within the range of 0.1 to 1, preventing ζ from being too large or too small, thereby preventing extreme values in the ESD calculation.

[0082] The following is an example calculation of the environmental emergency factor proportional coefficient. The units of the known conditions in the calculation example correspond to the values that should be entered when entering the parameters in the above formula. Entering the parameter values in the corresponding units can improve the accuracy of the formula:

[0083] Given the following conditions: environmental factor changes: E1 = 3°C, E2 = 5dB, user's age = 40 years, BMI = 25, γ = 1.5, substitute these into the formula to obtain:

[0084] P bio =0.05*40+0.02*25=2.5;

[0085]

[0086] Sigmoid(0.2(1+1.5·8+0.1·2.5))=Sigmoid(2.65)≈0.934;

[0087] ζ=0.1+(1-0.1)·0.934=0.9406.

[0088] The ESD value is then calculated using the calculated environmental emergency factor proportional coefficient. When the user's corresponding ESD value exceeds the standard, the following detailed intervention suggestions are given:

[0089] 1. Endocrine examination: Since the ESD value exceeds the standard, it indicates that there may be an endocrine system imbalance. It is recommended to conduct a comprehensive hormone level test, including:

[0090] Thyroid hormone testing (such as TSH, T3, T4): Assess whether the thyroid function is normal and check whether there is hyperthyroidism or hypothyroidism.

[0091] Cortisol test: This assesses the body's ability to respond to stress. Elevated cortisol levels often indicate long-term psychological or environmental stress.

[0092] Insulin level testing: To check for insulin resistance or diabetes risk, especially when the ESD value is high, metabolic problems may be the underlying cause.

[0093] Sex hormone level tests (e.g., estrogen, progesterone, testosterone): To assess reproductive health, particularly if there are menstrual irregularities or fertility problems.

[0094] Growth hormone testing: If growth problems such as dwarfism or gigantism are suspected, growth hormone levels may be tested.

[0095] Goal: To promptly identify potential endocrine problems by testing hormone levels, ensuring early intervention and treatment. Based on the hormone test results, tailored treatment plans, such as hormone replacement therapy and medication adjustments, are developed.

[0096] 2. Environmental factors management:

[0097] Reduce noise pollution: Use earplugs or a white noise machine to reduce the effects of noise on hormones, especially noise that affects sleep and stress responses. Improve the quietness of your living and working environments, such as reducing unnecessary mechanical noise and using soundproofing materials.

[0098] Adjust the indoor temperature:

[0099] Avoid extreme temperature changes and keep the indoor temperature between 18°C and 22°C to prevent large temperature fluctuations that could affect hormone secretion. Use air conditioning, heating, and fans to regulate the temperature and ensure a comfortable living environment, especially during seasonal changes.

[0100] Improve the lighting environment:

[0101] Increase exposure to natural light and spend at least 30 minutes outdoors in sunlight each day to regulate melatonin levels. Avoid excessive artificial light, especially at night, and reduce exposure to blue light to avoid affecting sleep quality and endocrine system regulation.

[0102] Controlling air quality:

[0103] Use an air purifier or maintain good ventilation to avoid the negative health effects of harmful gases (such as formaldehyde, carbon dioxide, etc.), which may interfere with the normal function of the endocrine system.

[0104] Objective: To reduce the negative impact of the external environment on the endocrine system by managing and optimizing environmental stress factors, thereby lowering ESD values and maintaining normal hormone levels.

[0105] 3. Adjust your work and rest schedule and exercise:

[0106] Adjust your work and rest routine:

[0107] Ensure you get 7-9 hours of quality sleep every night and avoid staying up late. Long-term sleep deprivation can affect melatonin and cortisol secretions, leading to endocrine disorders. It's best to set dinner times between 6 and 7 PM and avoid heavy meals close to bedtime to prevent digestion and hormone imbalances. Monitor your sleep quality regularly, using a sleep tracker to monitor your sleep quality, and optimize your sleeping environment, such as using blackout curtains and appropriate pillows and mattresses.

[0108] Increase aerobic exercise:

[0109] Moderate aerobic exercise (such as brisk walking, jogging, swimming, and cycling) can effectively regulate hormone levels in the body. It's recommended to engage in 150 minutes of moderate-intensity aerobic exercise per week. Avoid excessive exercise. While exercise is beneficial, excessive high-intensity exercise can increase cortisol levels in the body, which can have negative effects. Moderate exercise is particularly important for regulating the endocrine system.

[0110] Strengthen stress resistance training:

[0111] Reducing daily stress through relaxation exercises like meditation, yoga, and deep breathing can help regulate cortisol levels and reduce the negative impact of long-term stress responses on the endocrine system. Participating in social activities and hobbies can effectively relieve psychological stress, improve mood, and further reduce the impact of environmental and psychological stress on hormone levels.

[0112] Dietary adjustments:

[0113] Increase your intake of foods rich in antioxidants, healthy fats, protein, and dietary fiber, such as fresh fruits, vegetables, nuts, seeds, and whole grains. Reduce your intake of sugar and caffeine, as excessive amounts of these foods can lead to excessive insulin secretion, affecting blood sugar and hormone balance. Reducing your intake of these foods can help maintain endocrine health.

[0114] Goal: To help regulate hormone levels and restore the balance of the endocrine system by adjusting work and rest schedules, increasing moderate exercise, and performing stress reduction training, thereby reducing ESD and improving overall health.

[0115] The following is the program code for the above calculation example:

[0116]

[0117]

[0118]

[0119] In summary, the ζ calculation formula allows for quantitative analysis of the impact of physiological characteristics and environmental stressors on the endocrine system, generating a dynamic adjustment coefficient ζ for precise assessment of the impact of environmental factors on hormone fluctuations. This formula utilizes the sigmoid function to compress complex environmental factors and individual physiological characteristics into a reasonable range, from 0.1 to 1, ensuring that ζ remains within a controllable range and avoiding the influence of extreme values. This formula accurately captures individual sensitivity to environmental changes, facilitating the development of personalized health management strategies and effectively optimizing the effectiveness of endocrine health management.

[0120] The contents disclosed above are only preferred feasible embodiments of the present invention and do not limit the scope of protection of the present invention. Therefore, all equivalent technical changes made using the contents of the present invention description and drawings are included in the scope of protection of the present invention. In addition, the elements therein can be updated as technology develops.

Claims

1. A health management system based on pituitary hormone level monitoring, characterized by: It includes a multi-source data acquisition terminal, a hormone analysis terminal, an intelligent decision-making center terminal and a visual interaction terminal; the multi-source data acquisition terminal is used to regularly collect the user's blood samples and work and rest regularity information; The hormone analysis terminal is used to measure the hormone concentration of a specified hormone type in a blood sample and generate hormone time series information; The designated hormone types are preset by the administrator or set according to health management requirements; The intelligent decision-making center terminal is used to evaluate the user's individual health status based on hormone time series information and work and rest regularity information, and generate health status evaluation information and health strategy recommendations; the visual interaction terminal is used to display the health status evaluation information and health strategy recommendations; The multi-source data acquisition terminal includes a blood sample collection module and a work and rest pattern monitoring module; The blood sample collection module is used to regularly collect blood samples from the user; the work and rest pattern monitoring module is used to collect the user's sleep time, wake-up time, exercise and rest schedule data, and integrate them into work and rest pattern information.

2. The health management system based on pituitary hormone level monitoring according to claim 1, characterized in that: The hormone analysis terminal includes a blood sample hormone detection module and a hormone data processing module; The blood sample hormone detection module is used to measure the concentration of hormones of specified hormone types in the blood sample; the hormone data processing module is used to process the collected hormone concentration data to generate hormone time series information.

3. The health management system based on pituitary hormone level monitoring according to claim 1, characterized in that: The intelligent decision-making central terminal includes a data fusion module, a health status assessment module and a health strategy generation module; the data fusion module is used to read and fuse hormone time series information and work and rest regularity information to form comprehensive health assessment data; The health status assessment module is used to assess the user's health status based on the comprehensive health assessment data and generate health status assessment information; the health strategy generation module is used to formulate health strategy recommendations for the user based on the health status assessment information.

4. The health management system based on pituitary hormone level monitoring according to claim 1, characterized in that: The visual interaction terminal includes a health status display module, a health strategy display module and a user feedback module; The health status display module is used to present the user's health status assessment information in a visual manner; the health strategy display module is used to display health strategy recommendations; The user feedback module is used to collect health feedback information from users after they implement health strategy recommendations.

5. The health management system based on pituitary hormone level monitoring according to claim 3, characterized in that: The health status assessment module includes an endocrine synergistic deviation assessment submodule and a health status assessment information generation submodule; the endocrine synergistic deviation assessment submodule is used to perform endocrine synergistic deviation assessment on the user based on the comprehensive health assessment data and generate endocrine synergistic deviation assessment information; the health status assessment information is used to generate health status assessment information based on the endocrine synergistic deviation assessment information.

6. The health management system based on pituitary hormone level monitoring according to claim 5, characterized in that: The endocrine synergy deviation evaluation submodule includes an endocrine synergy deviation index calculation unit and an endocrine synergy deviation evaluation information generation unit; the endocrine synergy deviation index calculation unit is used to calculate the user's endocrine synergy deviation index based on the hormone concentration data, hormone concentration change rate data and hormone metabolism cycle data in the comprehensive health assessment data; the endocrine synergy deviation evaluation information generation unit is used to make a judgment based on the endocrine synergy deviation index and generate endocrine synergy deviation evaluation information; When the endocrine synergy deviation index calculation unit calculates, the following formula is satisfied: Where ESD represents the user's endocrine synergistic deviation index; C i represents the hormone concentration of the i-th hormone in the specified hormone category during the most recent blood sampling and hormone testing of the user at the current calculation moment; C represents the average concentration of all hormones in the specified hormone category; n represents the total number of specified hormone categories; t i represents the sampling time of the i-th hormone, ∈ represents a small constant; represents the rate of change of hormone concentration of the i-th hormone; τ i represents the hormone metabolism cycle of the i-th hormone; ζ represents the proportional coefficient of the environmental emergency factor, which is used to adjust the influence ratio of the environmental emergency factor item on the ESD calculation; ΔE k represents the change in the environmental emergency factor corresponding to the kth sampling before the current calculation time; m represents the total number of samplings before the current calculation time; S k represents the environmental stress score corresponding to the kth sampling time before the current calculation time; t now Indicates the time interval between the kth sampling and the first sampling before the current calculation moment; k ranges from 2 to m; E temp represents the temperature detection value in the user's space at the kth sampling time before the current calculation time; E noise Indicates the noise detection value in the user's space at the kth sampling time before the current calculation moment; if ESD>E ref , the endocrine synergy deviation evaluation information generating unit generates endocrine synergy deviation evaluation information indicating that the user's endocrine synergy deviation exceeds the standard.

7. A health management method based on monitoring of pituitary hormone levels, applied to the health management system based on monitoring of pituitary hormone levels as claimed in claim 6, characterized in that: The health management method based on pituitary hormone level monitoring includes: S1, regularly collects users’ blood samples and daily routine information; S2, measuring the hormone concentration of a specified hormone type in a blood sample and generating hormone time series information; S3, assesses the user's individual health status based on hormone time series information and work and rest pattern information, and generates health status assessment information and health strategy recommendations; S4, displays health status assessment information and health strategy recommendations.

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